Can nuclear waste solve the energy crisis caused by AI data centers? Maybe. And maybe much more, including providing rare elements we need like rhodium, palladium, ruthenium, krypto-85, Americium-241, and more.

Amazingly:

- 96% of nuclear fuel’s energy is left after it's "used"

- Recycling can reduce 10,000-year waste storage needs to just 300 years

- Curio’s new process avoids toxic nitric acid and extracts valuable isotopes

- 1 recycling plant could meet a third of America’s nuclear fuel needs

- Nuclear recycling could enable AI, space travel, and medical breakthroughs

In this episode of TechFirst, host John Koetsier talks with Ed McGinnis, CEO of Curio and former Acting Assistant Secretary for Nuclear Energy at the U.S. Department of Energy. McGinnis is on a mission to revolutionize how we think about nuclear waste, turning it into a powerful resource for energy, rare isotopes, and even precious metals like rhodium.

Watch now and subscribe for more deep tech insights.

Neura Robotics officially launched shed 4NE-1 this week. It's the leading European humanoid robot and it's the most powerful humanoid robot in existence right, as far as I'm aware, able to life 100kg or 220 pounds.

Neura also released a plan to build 5 million robots by 2030, a new home service robot named MiPA, a new 'Omnisensor' technology platform for integrating input from multiple types of sensors, and an app store for robot skills that anyone can contribute to ... and profit from.

In this TechFirst, we chat with David Reger, CEO of Neura Robotics, the leading European humanoid robotics company.

We touch on advanced sensors, AI integration, and Neura Robotics' platform that enables extensive customization and scalability. We also chat about significant partnerships with companies like NVIDIA, SAP, and Deutsche Telekom.

00:00 Introduction to Humanoid Robotics

00:22 Interview with Neura Robotics CEO

00:39 Launch of '4NE-1' Humanoid Robot

02:26 Technical Specifications and Capabilities

04:39 Advanced Sensor Technology

09:24 Artificial Skin and Touch Sensory

14:05 AI Integration in Robotics

15:53 Challenges in Embodied AI

17:11 Robot Gyms and Training

19:10 Partnerships and Collaborations

20:56 The App Store for Robot Skills

22:18 AI-Assisted Development Platform

29:15 Introducing Mepa: The Home Robot

31:41 Future Prospects and Closing Remarks

AI is big these days. Massive. More parameters, more memory, more capability. But what if the future is in tiny AI. Neural networks as small at 8 kilobytes on tiny chips, embedded in everything?

Think smart shoes.

Smart doors.

Smart ... everything

In this episode of TechFirst, host John Koetsier discusses the future of smart devices with Yubei Chen, co-founder of AIzip.

The conversation explores how small-scale AI can revolutionize everyday objects like shoes, cameras, and baby monitors. They delve into how edge AI, which operates at the device level rather than in the cloud, can create efficient, reliable, and cost-effective smart solutions. Chen explains the potential and challenges of integrating AI into traditional devices, including the hardware and software requirements, and touches on the implications for product quality, safety, and cost.

This insightful discussion provides a look into the near future of ubiquitous, intelligent technology in our daily lives.

00:00 Introduction to Smart Matter

01:17 Examples of Smart Applications

03:40 Building Efficient AI Models

04:01 The Future of Edge AI

09:32 Hardware for Smart Devices

11:52 Potential Downsides and Challenges

18:14 Conclusion and Final Thoughts